Meta-analysis

Number of studies combined: k = 90
Number of observations: o = 824837
Number of events: e = 38080

                     proportion           95%-CI
Common effect model      0.0405 [0.0401; 0.0410]
Random effects model     0.0474 [0.0404; 0.0549]

Quantifying heterogeneity:
 tau^2 = 0.0066 [0.0053; 0.0119]; tau = 0.0813 [0.0730; 0.1091]
 I^2 = 99.5% [99.5%; 99.6%]; H = 14.85 [14.43; 15.28]

Test of heterogeneity:
        Q d.f. p-value
 19621.14   89       0

Results for subgroups (common effect model):
                                      k proportion           95%-CI       Q   I^2
WHO Region = European Region         68     0.0506 [0.0495; 0.0517] 4308.80 98.4%
WHO Region = Region of the Americas  11     0.0116 [0.0110; 0.0121]  936.69 98.9%
WHO Region = Western Pacific Region  10     0.0495 [0.0489; 0.0501] 7756.42 99.9%
WHO Region = African Region           1     0.0300 [0.0276; 0.0325]    0.00    --

Test for subgroup differences (common effect model):
                      Q d.f. p-value
Between groups  6619.23    3       0
Within groups  13001.91   86       0

Results for subgroups (random effects model):
                                      k proportion           95%-CI  tau^2    tau
WHO Region = European Region         68     0.0563 [0.0471; 0.0662] 0.0074 0.0861
WHO Region = Region of the Americas  11     0.0139 [0.0085; 0.0207] 0.0019 0.0435
WHO Region = Western Pacific Region  10     0.0403 [0.0247; 0.0595] 0.0051 0.0711
WHO Region = African Region           1     0.0300 [0.0276; 0.0325]     --     --

Test for subgroup differences (random effects model):
                     Q d.f.  p-value
Between groups   57.01    3 < 0.0001

Details on meta-analytical method:
- Inverse variance method
- DerSimonian-Laird estimator for tau^2
- Jackson method for confidence interval of tau^2 and tau
- Freeman-Tukey double arcsine transformation

##LIFETIME USE PLOT